TY - CHAP A1 - Juan C. Ramirez ED1 - Dimitrios Vlachakis Y1 - 2019-06-19 PY - 2019 T1 - Lentiviral Vectors Come of Age? Hurdles and Challenges in Scaling Up Manufacture N2 - Systems biology is the inevitable outcome of long years of knowledge acquisition and data accumulation. The aim of systems biology is to integrate in a seamless way all existing knowledge in interconnected disciplines, stretching from modern biomedical research to physics, chemistry, and mathematics. The main integration tool of such complex biomedical systems is via computational and mathematical modeling. In this direction, a series of state-of-the-art computer science techniques are used, namely, data mining and fusion, machine learning, and deep learning all under the prism of big data. All in all, systems biology is at the arrowhead of modern and state-of-the-art biomedical research by attempting to address key biological questions describing holistically complex biological systems. BT - Systems Biology SP - Ch. 3 UR - https://doi.org/10.5772/intechopen.81105 DO - 10.5772/intechopen.81105 SN - 978-1-83880-804-4 PB - IntechOpen CY - Rijeka Y2 - 2019-12-06 ER -